iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3269
Single Precision Score
5443
Half Precision Score
4416
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 11:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.6 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1430
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2274
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2589
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13970
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12068
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
97% |
2439
194.1 IPS |
|
|
Object Detection (Q)
|
94% |
1797
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5628
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
3221
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5828
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11065
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7655
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17329
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26736
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22139
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3814
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4732
174.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3448
127.3 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3922
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2573
44.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4230
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4342
75.0 IPS |
